Data Scientist New Analytics Team

Understand Business Processes Data, Model the requirements to create Analytics Solutions Build Predictive Models Recommendation Engines using state-of-the-art Machine Learning Techniques to aid Business Processes increase efficiency and effectiveness in their outcomes. Churn and Analyze the data to discover actionable insights patterns for Business use. Assist the Function Head in Data Preparation Modelling Tasks as required Job Outline Collaborate with Business and IT teams for understanding and collecting data. Collect, collate, clean, process and transform large volume(s) of primarily Tabular data (Blend of Numerical, Categorical some Text). Apply Data Preparation Techniques like Data Filtering, Joining, Cleaning, Missing Value imputation, Feature Extraction, Feature Engineering, Feature Selection, Dimensionality Reduction, Feature Scaling, Variable Transformation etc Apply as required: basic Algorithms like Linear Regression, Logistic Regression, ANOVA, KNN, Clustering (K-Means, Density, Hierarchical etc), SVM, Na ve Bayes, Decision Trees, Principal Components, Association Rule Mining etc. Apply as required: Ensemble Modeling algorithms like Bagging (Random Forest), Boosting (GBM, LGBM, XGBoost, CatBoost), Time-Series Modelling and other state-of-the-art Algorithms. Apply as required: Modelling concepts like Hyperparameter Optimization, Feature Selection, Stacking, Blending, K-Fold Cross-Validation, Bias Variance, Overfitting etc Build Predictive Models using state-of-the-art Machine Learning techniques for Regression, Classification, Clustering, Recommendation Engines etc Perform Advance Analytics of the Business Data to find hidden patterns insights, explanatory causes, and make strategic business recommendations based on the same. Job Specifications- BE /B. Tech Any Stream Specific Skills: Should have strong expertise in Python libraries like Pandas Scikit Learn along with ability to code according to requirements stated in the Job Outline above Experience of Python Editors like PyCharm and/or Jupyter Notebooks (or other editors) is a must. Ability to organize the code into Modules, Functions and/or Objects is a must Knowledge of using ChatGPT for ML will be preferred. Familiarity with basic SQL for Querying Excel for Data Analysis is a must. Should understand basics of Statistics like Distributions, Hypothesis Testing, Sampling Techniques etc Familiarity with using ChatGPT, LLMs, Out-of-the Box Models etc for Data Preparation Model building Kaggle experience. Familiarity with R. Have an experience of at least 4 years of solving Business Problems through Data Analytics, Data Science and Modelling. Should have experience as a full-time Data Scientist for at least 2 years. Experience of at least 3 Projects in ML Model building, which were used in Production by Business or other clients. Job Interface/Relationships Work with different Business Teams to build Predictive Models for them Key Responsibilities Data Preparation for Modelling - Data Extraction, Cleaning, Joining Transformation Build ML/AI Models for various Business Requirements Perform Custom Analytics for providing actionable insights to the Business. Assist the Function Head in Data Preparation Modelling Tasks as required Total Time Spent on All Responsibilities Any other additional Input- Will not be considered for selection: Deep Learning Algorithms Image Processing Classification Text Modelling using NLP Techniques Indian School of Business Gachibowli, Hyderabad - 500111 Timings : Monday- Friday, 08:00 AM IST to 06:00 PM IST Sector 81, SAS Nagar ,Mohali - 140 306 Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .